CONFERENCES
Expert Talk on A Roadmap to Job Opportunities in Data Science
Event Details
| Attribute | Details |
|---|---|
| Event Name | Expert Talk on A Roadmap to Job Opportunities in Data Science |
| Date | 18 November 2025 |
| Venue | RA Auditorium, Main Campus |
| Organized By | Department of Data Science |
| Target Audience | Data Science Students |
| Resource Persons / Chief Guests | Ms. Mary, HR & Soft Skills Trainer, IAT Technologies Mr. Vignesh, Data Analyst, IAT Technologies |
Event Summary
The Department of Data Science organized an Expert Talk on A Roadmap to Job Opportunities in Data Science to guide students on emerging roles, essential skills, and practical applications in the field. The session featured industry experts from IAT Technologies who delivered insights into evolving job roles, the significance of analytics and AI across industries, and structured career pathways for professionals. Key activities included discussions on real-time projects demonstrating data collection, processing, and business transformation, along with practical examples and career advice. Students gained clarity on industry expectations, enhancing their preparedness for data science careers through interactive knowledge sharing. The event underscored the department’s commitment to bridging academic learning with professional opportunities, benefiting participants with actionable strategies for skill development and employment readiness.
Key Highlights
- Evolving job roles in data science and their industry relevance
- Step-by-step career paths for aspiring data professionals
- Real-time project insights on data collection, processing, and analytics
- Expertise in machine learning, data analytics, NLP, and visualization from Mr. Vignesh
- Soft skills training focus including communication and interview readiness by Ms. Mary
- Active student participation through hosted introductions and interactive sessions
About the Resource Persons
Ms. Mary – HR & Soft Skills Trainer
Ms. Mary holds a Master’s degree in Computer Science from SRM Deemed University and brings over 15 years of extensive experience in the IT industry across leading multinational companies.
Mr. Vignesh – Data Scientist & Data Analytics Trainer
Mr. Vignesh holds a Master’s degree in Data Science from GUVI Geek Networks, IITM Research Park, and a Bachelor’s degree in Computer Applications from Madurai Kamaraj University. He brings strong expertise in Machine Learning, Data Analytics, Deep Learning, AI model development, Natural Language Processing, and Data Visualization.
Expert Talk on Navigating Technology Stack and Placement Journey
Event Details
| Parameter | Details |
|---|---|
| Event Name | Navigating Technology Stack and Placement Journey |
| Date | 9th December 2025 |
| Time | 2:00 P.M. |
| Venue | RA Auditorium, Main Campus |
| Organized By | Department of Data Science with Universal Data Intelligence Association |
| Target Audience | Data Science Students |
| Resource Person | Mr. Sakthi Raj, Technical Specialist, HTC Global Services |
Key Topics Covered
The expert talk addressed three critical areas essential for data science career preparation[1]:
Industry Expectations & Technology Stack: The session covered industry standards for data science professionals, technology stack selection (Python, R, machine learning frameworks, cloud platforms, and big data tools), and the importance of aligning skills with current market demands where job postings requiring data science degrees have surged from 47% to 70%[1].
Continuous Upskilling: Mr. Sakthi Raj emphasized the necessity of continuous learning in areas such as Generative AI, NLP, and computer vision, supplemented by hands-on portfolio projects and industry certifications[1].
Career Pathway: Students learned actionable strategies for placement preparation, including building strong technical fundamentals, developing practical projects, staying current with industry trends, obtaining relevant certifications, and cultivating both technical and soft skills.
Resource Person & Organization
Mr. Sakthi Raj, Technical Specialist at HTC Global Services, brings extensive expertise in artificial intelligence, machine learning, robotic process automation, and cybersecurity. HTC Global Services Inc., founded in 1990 and headquartered in Troy, Michigan, is a premier IT and business process outsourcing organization with over 10,000 employees globally, serving Fortune 1000 clients across AI/ML, RPA, IoT, cybersecurity, and cloud computing[2].
Event Outcomes & Industry Context
Outcomes: The expert talk provided industry-aligned career guidance, enhanced student understanding of technology stacks, facilitated industry connections, strengthened placement confidence, and delivered actionable upskilling recommendations through interactive discussions.
Industry Landscape: Job postings requiring data science degrees increased by 23% from 2024 to 2025; entry-level positions now average $152,000 annually (up $40,000 from 2024); machine learning skills appear in 77% of job postings[1]. Employers increasingly seek versatile professionals with communication acumen and ethical AI understanding alongside technical expertise.
Awareness Session on the Right to Information Act and Its Relevance to Modern Data Science
Event Details
| Field | Description |
|---|---|
| Event Name | Awareness Session on Right to Information (RTI) and Data-Driven Governance |
| Date | 17 October 2025 |
| Time | 2:00 PM – 3:00 PM IST |
| Venue | RA Auditorium, Main Campus, Dr. M.G.R. Educational and Research Institute |
| Organized By | Data Science Department in association with National Service Scheme (NSS) |
| Target Audience | Undergraduate and postgraduate students of Data Science, faculty members, and NSS volunteers |
| Resource Person | Ms. G. Saraswathy, Assistant Professor, Faculty of Law, Dr. M.G.R. Educational and Research Institute |
Event Summary
The Data Science Department, in collaboration with the National Service Scheme, organized an offline awareness session on the Right to Information (RTI) Act to sensitize students to the legal and ethical dimensions of data use in governance. The resource person, Ms. G. Saraswathy, Assistant Professor, Faculty of Law, provided a comprehensive overview of the evolution, structure, and key provisions of the RTI Act, highlighting its role in promoting transparency and accountability in public institutions. The talk connected RTI-enabled information access with data-driven decision-making, illustrating how public data obtained through RTI requests can support evidence-based policy analysis, open data initiatives, and responsible analytics in the public sector. Students were introduced to practical scenarios where RTI-based datasets intersect with data science tasks such as data cleaning, analysis, and visualization, while also addressing concerns related to privacy and ethical handling of sensitive information. The interactive discussion and question-and-answer segment enabled participants to clarify legal nuances, understand procedural aspects of filing RTI applications, and appreciate the significance of regulatory frameworks in shaping responsible data science practice.
Key Highlights
- Overview of the RTI Act, its objectives, and legal provisions relevant to transparency and public accountability
- Discussion on how RTI-derived information can serve as a valuable data source for public policy analytics and evidence-based governance
- Emphasis on ethical data handling, privacy considerations, and compliance when working with citizen-centric and government datasets
- Illustration of real-world examples where data science techniques are applied to RTI-based datasets for societal impact
- Active participation of Data Science students and NSS volunteers through queries on filing RTI applications and interpreting obtained information
- Acknowledgment of institutional support from the administration and department leadership in promoting legally aware and socially responsible data professionals
Guest Lecture on Study Abroad Opportunities after Data Science and AI
Event Details
| Attribute | Details |
|---|---|
| Event Name | Guest Lecture on Study Abroad After DS & AI |
| Date | 2nd August 2025 |
| Time | 2:00 PM |
| Venue | RA Auditorium, Main Campus |
| Organized By | Department of Data Science and Artificial Intelligence in collaboration with Office of International Relations |
| Target Audience | Students of Data Science and AI Programs |
| Resource Person | Ms. Athulya Liss George, Regional Officer, University of South Wales, UK |
Event Summary
The Department of Data Science and Artificial Intelligence, in collaboration with the Office of International Relations, successfully conducted a guest lecture to guide students on higher education opportunities abroad following undergraduate studies in Data Science and AI. The session was delivered by Ms. Athulya Liss George, Regional Officer at the University of South Wales, UK, a distinguished professional with an MSc in Analytical and Forensic Science and extensive experience in international student recruitment and support.
Key Highlights
- Program Overview: Comprehensive presentation on MSc Artificial Intelligence and MSc Data Science programs, detailing specializations in business intelligence, predictive analytics, big data solutions, and healthcare data analytics applications.
- Entry Requirements and Eligibility: Clear explanation of academic qualifications required for Indian students, English language proficiency standards (IELTS 6.0 minimum), and available English waivers for qualifying applicants.
- Scholarships and Financial Support: Information on Chancellor's International Development Scholarships (£2,500), flexible payment plans with 9 monthly installments, and competitive tuition fees (£14,400–£15,400 per annum for Masters programs).
- Affordable Living and Accommodation: Emphasis on Cardiff's ranking as the second most affordable UK city for students, guaranteed on-campus accommodation (£115+ per week), and post-study work opportunities supporting career development.
- Application Process and Support: Detailed walkthrough of the USW application process, including credibility interviews, unconditional offers, and comprehensive student support services (24/7 library access, mentoring, careers guidance, and cultural integration through Indian Society networks).
- Employability and Career Outcomes: Highlights of 95% graduate employment or further education placement within 6 months, lifetime career support, job fairs, and partnerships with leading employers in AI, fintech, and tech sectors.
- Interactive Student Engagement: Active participation in Q&A sessions, enabling students to address concerns about career pathways, visa processes, and academic-industry alignment.
Learning Outcomes
Students who attended the lecture benefited from:
- Understanding diverse postgraduate pathways in Data Science and Artificial Intelligence at internationally recognized universities.
- Gaining clarity on application procedures, admission timelines, and documentation requirements for UK universities.
- Awareness of financial planning strategies, scholarship opportunities, and affordability factors for international education.
- Exposure to career-focused teaching methodologies emphasizing hands-on learning and real-world project engagement.
- Knowledge of post-study work visa benefits and long-term career development opportunities in the global technology sector.
- Enhanced confidence in pursuing international higher education aligned with their academic and career aspirations.
